【问题标题】:pyquery response.body retrieve div elementspyquery response.body 检索 div 元素
【发布时间】:2017-11-25 13:27:26
【问题描述】:

我正在尝试使用scrapy和PyQuery编写一个网络爬虫。完整的蜘蛛代码如下。

from scrapy import Spider
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor

class gotspider(CrawlSpider):
        name='gotspider'
        allowed_domains=['fundrazr.com']
        start_urls = ['https://fundrazr.com/find?category=Health']
        rules = [
        Rule(LinkExtractor(allow=('/find/category=Health')), callback='parse',follow=True)
            ] 


def parse(self, response):
    self.logger.info('A response from %s just arrived!', response.url)
    print(response.body)

网页骨架

<div id="header">
<h2 class="title"> Township </h2>
<p><strong>Client: </strong> Township<br>
<strong>Location: </strong>Pennsylvania<br>
<strong>Size: </strong>54,000 SF</p>
 </div>

爬虫的输出,爬虫获取请求 URL 并命中正确的 Web 目标,但 parse_item 或 parse 方法没有得到响应。 Response.URL 未打印。我试图通过运行没有日志的蜘蛛来验证这一点 scrapy crawl rsscach--nolog 但没有任何内容打印为日志。这个问题非常细化。

2017-11-26 18:07:12 [scrapy.utils.log] INFO: Scrapy 1.4.0 started (bot: rsscrach)
2017-11-26 18:07:12 [scrapy.utils.log] INFO: Overridden settings: {'BOT_NAME': 'rsscrach', 'NEWSPIDER_MODULE': 'rsscrach.spiders', 'ROBOTSTXT_OBEY': True, 'SPIDER_MODULES': ['rsscrach.spiders']}
2017-11-26 18:07:12 [scrapy.middleware] INFO: Enabled extensions:
['scrapy.extensions.corestats.CoreStats',
 'scrapy.extensions.telnet.TelnetConsole',
 'scrapy.extensions.memusage.MemoryUsage',
 'scrapy.extensions.logstats.LogStats']
2017-11-26 18:07:12 [scrapy.middleware] INFO: Enabled downloader middlewares:
['scrapy.downloadermiddlewares.robotstxt.RobotsTxtMiddleware',
 'scrapy.downloadermiddlewares.httpauth.HttpAuthMiddleware',
 'scrapy.downloadermiddlewares.downloadtimeout.DownloadTimeoutMiddleware',
 'scrapy.downloadermiddlewares.defaultheaders.DefaultHeadersMiddleware',
 'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware',
 'scrapy.downloadermiddlewares.retry.RetryMiddleware',
 'scrapy.downloadermiddlewares.redirect.MetaRefreshMiddleware',
 'scrapy.downloadermiddlewares.httpcompression.HttpCompressionMiddleware',
 'scrapy.downloadermiddlewares.redirect.RedirectMiddleware',
 'scrapy.downloadermiddlewares.cookies.CookiesMiddleware',
 'scrapy.downloadermiddlewares.httpproxy.HttpProxyMiddleware',
 'scrapy.downloadermiddlewares.stats.DownloaderStats']
2017-11-26 18:07:12 [scrapy.middleware] INFO: Enabled spider middlewares:
['scrapy.spidermiddlewares.httperror.HttpErrorMiddleware',
 'scrapy.spidermiddlewares.offsite.OffsiteMiddleware',
 'scrapy.spidermiddlewares.referer.RefererMiddleware',
 'scrapy.spidermiddlewares.urllength.UrlLengthMiddleware',
 'scrapy.spidermiddlewares.depth.DepthMiddleware']
2017-11-26 18:07:12 [scrapy.middleware] INFO: Enabled item pipelines:
[]
2017-11-26 18:07:12 [scrapy.core.engine] INFO: Spider opened
2017-11-26 18:07:12 [scrapy.extensions.logstats] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)
2017-11-26 18:07:12 [scrapy.extensions.telnet] DEBUG: Telnet console listening on 127.0.0.1:6024
2017-11-26 18:07:13 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://fundrazr.com/robots.txt> (referer: None)
2017-11-26 18:07:14 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://fundrazr.com/find?category=Health> (referer: None)
2017-11-26 18:07:15 [scrapy.core.engine] INFO: Closing spider (finished)
2017-11-26 18:07:15 [scrapy.statscollectors] INFO: Dumping Scrapy stats:
{'downloader/request_bytes': 605,
 'downloader/request_count': 2,
 'downloader/request_method_count/GET': 2,
 'downloader/response_bytes': 13510,
 'downloader/response_count': 2,
 'downloader/response_status_count/200': 2,
 'finish_reason': 'finished',
 'finish_time': datetime.datetime(2017, 11, 26, 10, 7, 15, 46516),
 'log_count/DEBUG': 3,
 'log_count/INFO': 7,
 'memusage/max': 52465664,
 'memusage/startup': 52465664,
 'response_received_count': 2,
 'scheduler/dequeued': 1,
 'scheduler/dequeued/memory': 1,
 'scheduler/enqueued': 1,
 'scheduler/enqueued/memory': 1,
 'start_time': datetime.datetime(2017, 11, 26, 10, 7, 12, 198182)}
2017-11-26 18:07:15 [scrapy.core.engine] INFO: Spider closed (finished)

如何获取属性的客户端、位置和大小?

【问题讨论】:

  • 您是否收到错误消息?您是否使用print() 来查看变量中的内容 - 即。你在response.body 中得到了什么。也许你在没有h2的情况下得到回复
  • 格式代码。现在它有错误的缩进。总是添加标签python - 它突出显示代码。
  • 顺便说一句:scarpycss selector 可以用来代替 PyQuery
  • @furas 我正在尝试通过添加 self.logger.info('A response from %s just arrived!', response.body) 进行调试,但我无法在 python 控制台以及生成的日志中看到记录器信息。
  • 使用print(),你会看到所有的。

标签: python python-3.x scrapy web-crawler pyquery


【解决方案1】:

我用 Scrapy 制作了独立的脚本,它测试了不同的方法来获取数据,它可以正常工作。也许它可以帮助您找到问题。

import scrapy
import pyquery

class MySpider(scrapy.Spider):

    name = 'myspider'

    start_urls = ['https://fundrazr.com/find?category=Health']

    def parse(self, response):
        print('--- css 1 ---')
        for title in response.css('h2'):
            print('>>>', title)

        print('--- css 2 ---')
        for title in response.css('h2'):
            print('>>>', title.extract()) # without _first())
            print('>>>', title.css('a').extract_first())
            print('>>>', title.css('a ::text').extract_first())
            print('-----')

        print('--- css 3 ---')
        for title in response.css('h2 a ::text'):
            print('>>>', title.extract()) # without _first())

        print('--- pyquery 1 ---')
        p = pyquery.PyQuery(response.body)
        for title in p('h2'):
            print('>>>', title, title.text, '<<<') # `title.text` gives "\n"

        print('--- pyquery 2 ---')
        p = pyquery.PyQuery(response.body)
        for title in p('h2').text():
            print('>>>', title)
        print(p('h2').text())

        print('--- pyquery 3 ---')
        p = pyquery.PyQuery(response.body)
        for title in p('h2 a'):
            print('>>>', title, title.text)

# ---------------------------------------------------------------------

from scrapy.crawler import CrawlerProcess

process = CrawlerProcess({
    'USER_AGENT': 'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)'
})

process.crawl(MySpider)
process.start()

【讨论】:

  • 谢谢 缺少的部分是 process.start()。在我的代码process.start(stop_after_crawl=False) 中避免不必要的端口问题。另一个疑问是如何跟踪 pyquery 对象。 &lt;div id="portfolio-header"&gt; &lt;h2 class="post-title"&gt;Township Library&lt;/h2&gt; &lt;p&gt;&lt;strong&gt;Client: &lt;/strong&gt;Township&lt;br&gt; &lt;strong&gt;Location: &lt;/strong&gt;Pennsylvania&lt;br&gt; &lt;strong&gt;Size: &lt;/strong&gt;34,000 SF&lt;/p&gt; &lt;/div&gt;我要抓取所有强元素以及它的价值如何获得?
  • 您可以将所有字符串作为一个字符串txt = p('p').text() - Client: Township Location: Pennsylvania Size: 54,000 SF - 并将其拆分为列表data = txt.split(' ') - ['Client:', 'Township', 'Location:', 'Pennsylvania', 'Size:', '54,000', 'SF']。如果您想将SF'54,000' as '54,000 SF 保持一致,那么您可以使用txt.split(' ', 5) 中的第二个参数。但所有这些只有在客户名称和位置是单个单词时才有效(不是New York)。
  • 感谢@furas 我能够获得 txt 包含多个单词的全部数据,例如客户:第一镇,位置:宾夕法尼亚州,纽约。直截了当的 split(:) 可能无法解决需要一些 regexp()。我正在尝试拆分它
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